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@@ -10,7 +10,7 @@ Physics-based forecasts are generated from 4 national weather agencies with 44-d
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  Our benchmark is one of the first to incorporate physics-based metrics to ensure physically-consistent and explainable models.
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  We establish two tasks: full and sparse dynamics prediction.
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- 🔗: [https://github.com/leap-stc/](https://github.com/leap-stc/)
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  📚: [https://arxiv.org/](https://arxiv.org/)
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@@ -23,11 +23,11 @@ cd ChaosBench
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  mkdir data
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  ```
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- **Step 3**: Navigate to `chaosbench/config.py` and change the field `DATA_DIR = /<YOUR_WORKING_DIR>/ChaosBench/data` (_Provide absolute path_)
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  **Step 4**: Initialize the space by running
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  ```
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- cd /<YOUR_WORKING_DIR>/ChaosBench/data/
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  wget https://huggingface.co/datasets/juannat7/ChaosBench/blob/main/process.sh
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  chmod +x process.sh
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  ```
 
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  Our benchmark is one of the first to incorporate physics-based metrics to ensure physically-consistent and explainable models.
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  We establish two tasks: full and sparse dynamics prediction.
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+ 🔗: [https://leap-stc.github.io/ChaosBench/](https://leap-stc.github.io/ChaosBench/)
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  📚: [https://arxiv.org/](https://arxiv.org/)
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  mkdir data
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  ```
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+ **Step 3**: Navigate to `chaosbench/config.py` and change the field `DATA_DIR = ChaosBench/data`
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  **Step 4**: Initialize the space by running
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  ```
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+ cd ChaosBench/data/
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  wget https://huggingface.co/datasets/juannat7/ChaosBench/blob/main/process.sh
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  chmod +x process.sh
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  ```